Let x = (x1, . . . , xn1) and censored observations (xn1 +1, . . .

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Let x = (x1, . . . , xn1) and censored observations (xn1 +1, . . . ,xn) (that is, ith experiment, if I > n1, the survival time is at least yi). Let the new complete censored data yi be such that

Let the mean survival time be Î¸ and the probability density of y be

and let the survival function be defined as the probability that an individual survives beyond time y, that is, S(y) = P(Y > y). Thus,

(a) Obtain the MLE, Î¸-capM:
(b) Obtain an EM algorithm.

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Mathematical Statistics With Applications In R

ISBN: 9780124171138

2nd Edition

Authors: Chris P. Tsokos, K.M. Ramachandran

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Question Posted: Nov 23, 2015 04:05 AM

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Let x = (x1, . . . , xn1) and censored observations (xn1 +1, . . .

Question:

x, ni

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a Let be the observed data and be the censored data The likelihood is T...View the full answer

Mathematical Statistics With Applications In R

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